Model Comparison

DeepSeek R1 Distill Qwen 7B vs DeepSeek-V3Which is better in 2026?

DeepSeek R1 Distill Qwen 7B has a slight edge in benchmark performance.

Verdict: DeepSeek R1 Distill Qwen 7B vs DeepSeek-V3 — which is better?

DeepSeek R1 Distill Qwen 7B (by DeepSeek) and DeepSeek-V3 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Distill Qwen 7B outperforms in 2 benchmarks (AIME 2024, MATH-500), while DeepSeek-V3 is better at 1 benchmark (GPQA). DeepSeek R1 Distill Qwen 7B has a slight edge in benchmark performance.

Choose DeepSeek R1 Distill Qwen 7B if…

  • you want the most recent training data — it shipped Jan 2025

Choose DeepSeek-V3 if…

  • you want predictable pricing at $0.27/M input and $1.10/M output

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 2 benchmarks (AIME 2024, MATH-500), while DeepSeek-V3 is better at 1 benchmark (GPQA).

DeepSeek R1 Distill Qwen 7B has a slight edge in benchmark performance.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

663.4B diff

DeepSeek-V3 has 663.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 8705.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
DeepSeek
DeepSeek-V3
671.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
671.0B
DeepSeek-V3

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Wed Jul 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek R1 Distill Qwen 7B is 1 month newer than DeepSeek-V3.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.5 years ago

3w newer
DeepSeek-V3

Dec 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher AIME 2024 score (83.3% vs 39.2%)
Higher MATH-500 score (92.8% vs 90.2%)
DeepSeek
Larger context window (131,072 tokens)
Higher GPQA score (59.1% vs 49.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and DeepSeek-V3 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
DeepSeek-V3
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek-V3

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs DeepSeek-V3.

Which is better, DeepSeek R1 Distill Qwen 7B or DeepSeek-V3?

DeepSeek R1 Distill Qwen 7B has a slight edge in benchmark performance. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 7B compare to DeepSeek-V3 in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and DeepSeek-V3?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 7B and DeepSeek-V3?

Key differences include licensing (MIT vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

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